Triple
T33417866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Mechanical Engineering, Technical University of Košice |
E855764
|
entity |
| Predicate | hasMainDisciplineGroup |
P134380
|
FINISHED |
| Object | engineering |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: engineering | Statement: [Faculty of Mechanical Engineering, Technical University of Košice, hasMainDisciplineGroup, engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainDisciplineGroup Context triple: [Faculty of Mechanical Engineering, Technical University of Košice, hasMainDisciplineGroup, engineering]
-
A.
hasPrimaryDisciplineStructure
Indicates that an entity is associated with its main or principal organizational or structural form of discipline.
-
B.
disciplineGroupOf
chosen
Indicates that one entity is a discipline group to which another entity (such as a person, course, or activity) belongs or is associated.
-
C.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
D.
hasDisciplineRole
Indicates that an entity holds a specific role or function within a particular discipline or field.
-
E.
hasDisciplineSections
Indicates that an entity is associated with one or more sections that belong to a particular discipline or field.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0116ca6a1c81909a9e938dbe54eb8a |
completed | May 10, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_6a0116655e248190bdfe5b4bb4f1cf47 |
completed | May 10, 2026, 11:36 p.m. |
Created at: May 1, 2026, 1:36 a.m.